Future Tech Jobs Future Tech Jobs

AI / Machine Learning Engineer

The Digital Bench Ltd
Australia
Last month
£70,000 – £95,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior AI/ML Engineer

Platform Recruitment London, United Kingdom
£90,000 – £120,000 pa

Director, AI Engineering

Faculty AI London, United Kingdom
Hybrid

Lead Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid

Senior Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Principal Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid

Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Salary

£70,000 – £95,000 pa

Posted
8 Apr 2026 (Last month)
Share
Save job
Create job alert

Location: Perth, Sydney and Melbourne, Australia (Relocation support considered)

Salary: £70,000 – £95,000 equivalent + benefits

Job Type: Permanent, Full-time

About the Role

We are seeking an experienced AI / Machine Learning Engineer to join a growing technology team delivering innovative data-driven projects across Australia. You will work on cutting-edge solutions supporting industries such as finance, healthcare, engineering, digital services and advanced analytics.

This is an excellent opportunity for UK-based professionals seeking lifestyle relocation to Australia while working on high-impact AI solutions.

Key Responsibilities

* Develop, deploy and optimise machine learning models

* Work with large structured and unstructured datasets

* Build predictive analytics solutions

* Collaborate with data engineers and software teams

* Evaluate model performance and improve accuracy

* Apply generative AI where appropriate

Required Skills

* Strong Python programming experience

* Experience with TensorFlow, PyTorch or similar frameworks

* Data modelling and feature engineering experience

* Understanding of statistics and machine learning algorithms

* Experience deploying models to production environments

* Strong problem-solving skills

Desirable

* Cloud platform experience (AWS, Azure or GCP)

* Experience with MLOps tools

* Knowledge of big data tools

Eligibility Requirement

Applicants must be eligible to live and work in Australia.

Benefits

* Competitive salary package

* Flexible working options

* Career progression opportunities

* Modern technology environment

* Relocation support considered

Apply now to explore a technology career in Australia

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Machine Learning roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.